Kurt

Kurt — CS2 Stats

DK76561198944449905[U:1:984184177]Steam profile ↗✓ No bans

1,384Tracked matches57%Win rate2020Tracked since
9,287Hours in CS
CSDB Rating5.4 DevelopingSupport
FaceitLevel 10 · 2,611 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,384 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 81 days played since 24 Feb 2024. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Faceit ELO: 2,611 +0 30 Aug1 Sept · 2 observations
2,6112,611peak 2,61130 Aug1 Sept
12,225Peak Premier in tracked matches
2,611Highest Faceit ELO seen on CSDB
81Days played since 2024-02-24

Faceit ELO

  • At peak — 2,611
  • Next: 3,000 ELO at 3,000 389 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-30
  • Level 10 first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=28,192), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate61.2%51.0%
Shot accuracy17.9%13.7%
Kill/death ratio0.911.09
Match win rate45.0%48.4%

Share this profile

CSDB.GGKurtFACEITLevel 10 · 2,611 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,611csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim69
Positioning44
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY5149Last 10051%Win rateLWLWWLLLLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −0.2pp headshot accuracy · −8ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 561ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 543ms

Last 20

  • 1010 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 547ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: SupportUtility contribution stands above the rest of this profile (+1.3 against its own average).

Aim6.9
Utility4.8
Positioning4.4
Opening Duels1.8
Clutch3.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 93% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 43% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 555ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.9
Positioning4.4
Utility4.8
Mechanics5.0
Opening Duels1.6
Win Impact7.2

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time563ms−32ms
first ⅓ avg 595ms → last ⅓ avg 563ms
Headshot accuracy20.9%+1.1%
first ⅓ avg 19.7% → last ⅓ avg 20.9%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.09Best match rating · 13–4 · mirage, 7 Dec
38%Best headshot accuracy · 7–13 · inferno, 8 Dec
391msFastest reaction time · 13–1 · nuke, 16 Jun
13–0Biggest win · mirage, 19 Jun

Across the last 100 tracked matches.

Highlights

5Longest win streak
107In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 65% over 23ancientWeakest map · 42% over 26
MapGradePlayedRecordWin rateAvg rating
ancientC26111542%0.00
mirageS2315865%0.00
infernoB1991047%-0.01
nukeA1710759%-0.01
anubis42250%-0.02
dust241325%-0.03
overpass32167%-0.01
vertigo3030%-0.05
train110100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (42% over 26). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

247,652Lifetime kills
0.91K/D
5,421Matches
45.0%Match win rate
61.2%Headshot % · Top 25% of Level 10 players
17.9%Shot accuracy · Top 25% of Level 10 players
21,371MVPs
9,287Hours (in match)
4,873Bombs planted
2,670Bombs defused

Most-used weapons

AK-47128,496
AWP14,416
SG 5534,905
Knife2,812
MP92,463

Lifetime map wins

13,086inferno
11,237nuke
7,667vertigo
5,594train
4,302dust2
11cbble
4office
1lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

3,342Matches
50%Win rate
1.09Avg K/D
79.6ADR
50%Headshot %

Clutches & streaks

35%1v1 clutch win
20%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage56049%1.0315.2
Ancient34550%1.0715.6
Nuke30154%1.0916.0
Inferno25654%1.1115.7
Dust211439%0.9014.3
Anubis5646%0.9815.4
Vertigo5044%1.0815.1
Overpass4448%1.0615.3

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.7%Headshot accuracy
33.9%Accuracy (enemy spotted)
35.7%Spray accuracy
72.4%Counter-strafing
9.5°Preaim
555msReaction time
25.6%T opening success
43.2%CT opening success
0.55Enemies flashed / flash
7.3%Flash assists
7.85HE damage / grenade
7.76Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 25.5942% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

42% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.0122%8 Aug
mirage13–70.0219%4 Aug
nuke7–13-0.0818%27 Jul
ancient13–40.0520%26 Jul
anubis13–30.0915%16 Jul
ancient4–13-0.0324%15 Jul
ancient14–16-0.0213%12 Jul
inferno7–13-0.0533%11 Jul
anubis2–13-0.0725%11 Jul
nuke13–8-0.0324%7 Jul
mirage13–80.0326%3 Jul
mirage13–10-0.026%28 Jun
mirage4–13-0.0128%24 Jun
inferno6–13-0.0418%20 Jun
nuke13–10.0218%16 Jun
inferno7–13-0.0217%13 Jun
nuke13–20.0622%13 Jun
ancient11–13-0.0221%13 Jun
ancient13–40.0023%9 Jun
inferno13–10-0.0435%2 Jun
nuke13–6-0.0115%31 May
mirage13–110.0021%17 May
mirage7–13-0.097%16 May
mirage13–110.0119%16 May
ancient16–140.0226%16 May
ancient11–13-0.0020%5 May
inferno13–11-0.0324%26 Apr
ancient13–70.0915%26 Apr
ancient6–13-0.0519%24 Apr
ancient19–17-0.0125%16 Apr
ancient13–80.0412%28 Mar
mirage4–13-0.0027%23 Mar
ancient13–5-0.0230%21 Mar
nuke8–13-0.0819%14 Mar
overpass13–40.0326%11 Mar
inferno10–13-0.0321%11 Mar
ancient8–130.0315%9 Mar
ancient13–50.0823%3 Mar
overpass11–13-0.0815%1 Mar
ancient5–13-0.0023%1 Mar
nuke7–13-0.046%21 Feb
mirage13–110.0723%21 Feb
ancient16–120.0023%17 Feb
inferno13–11-0.0530%2 Feb
nuke9–13-0.0326%30 Jan
inferno6–13-0.0121%27 Jan
nuke13–50.0436%27 Jan
nuke13–70.0719%23 Jan
ancient13–10.0315%21 Jan
nuke14–10-0.0420%8 Jan
mirage12–100.0323%3 Jan
inferno7–13-0.0421%27 Dec
dust28–13-0.0424%26 Dec
inferno13–100.0231%23 Dec
inferno13–90.0120%20 Dec
nuke9–130.0415%14 Dec
ancient8–130.0415%13 Dec
ancient6–13-0.0118%28 Nov
train13–60.0314%10 Aug
overpass13–90.0311%9 Aug
ancient11–130.0215%8 Aug
dust26–130.0119%11 Jul
inferno11–13-0.0217%10 Jul
mirage6–130.0021%10 Jul
mirage13–00.0322%19 Jun
anubis13–7-0.0423%1 Mar
anubis11–13-0.0515%1 Mar
inferno13–60.0419%25 Feb
ancient7–13-0.170%23 Feb
nuke13–9-0.0212%2 Feb
dust212–16-0.0117%2 Feb
ancient13–160.0129%29 Jan
ancient13–80.0218%26 Jan
dust213–10-0.0813%21 Jan
inferno13–80.0824%21 Jan
inferno3–13-0.0521%13 Jan
mirage13–4-0.0213%8 Jan
mirage13–20.0515%4 Jan
mirage3–13-0.0124%1 Jan
vertigo12–16-0.0324%16 Dec
vertigo9–130.0116%13 Dec
vertigo8–13-0.1318%8 Dec
inferno7–13-0.0338%8 Dec
mirage13–40.0912%7 Dec
nuke2–13-0.0726%6 Dec
inferno13–5-0.0219%2 Dec
nuke19–150.0314%1 Dec
mirage13–8-0.0021%23 Nov
mirage8–13-0.0112%23 Nov
mirage13–110.0118%23 Nov
inferno7–130.0128%21 Nov
mirage13–90.0117%20 Nov
inferno13–50.0626%18 Nov
nuke13–90.0623%18 Nov
mirage19–17-0.0117%17 Nov
ancient8–130.0121%28 Oct
mirage9–13-0.0325%19 Oct
ancient10–13-0.0719%12 Oct
mirage3–13-0.0932%12 Oct
nuke8–13-0.0722%24 Feb

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →